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Collections including paper arxiv:2312.10997

Retrieval-Augmented Generation

Searching for Best Practices in Retrieval-Augmented Generation

Paper • 2407.01219 • Published Jul 1 • 10
Retrieval-Augmented Generation for Large Language Models: A Survey

Paper • 2312.10997 • Published Dec 18, 2023 • 10
The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs

Paper • 2406.10251 • Published Jun 10

Retrieval-Augmented Generation for Large Language Models: A Survey

Paper • 2312.10997 • Published Dec 18, 2023 • 10

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 12
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Paper • 2401.08406 • Published Jan 16 • 37
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Paper • 2104.08663 • Published Apr 17, 2021 • 3
Precise Zero-Shot Dense Retrieval without Relevance Labels

Paper • 2212.10496 • Published Dec 20, 2022 • 2

Retrieval-Augmented Generation for Large Language Models: A Survey

Paper • 2312.10997 • Published Dec 18, 2023 • 10

Retrieval-Augmented Generation for Large Language Models: A Survey

Paper • 2312.10997 • Published Dec 18, 2023 • 10

Mixtral of Experts

Paper • 2401.04088 • Published Jan 8 • 157
Retrieval-Augmented Generation for Large Language Models: A Survey

Paper • 2312.10997 • Published Dec 18, 2023 • 10

Dense X Retrieval: What Retrieval Granularity Should We Use?

Paper • 2312.06648 • Published Dec 11, 2023 • 1
Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 79
Text Embeddings Reveal (Almost) As Much As Text

Paper • 2310.06816 • Published Oct 10, 2023 • 1
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Paper • 2401.08406 • Published Jan 16 • 37

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 74
REST: Retrieval-Based Speculative Decoding

Paper • 2311.08252 • Published Nov 14, 2023
Active Retrieval Augmented Generation

Paper • 2305.06983 • Published May 11, 2023 • 3
Retrieval-Augmented Generation for Large Language Models: A Survey

Paper • 2312.10997 • Published Dec 18, 2023 • 10

Context Tuning for Retrieval Augmented Generation

Paper • 2312.05708 • Published Dec 9, 2023 • 16
Dense X Retrieval: What Retrieval Granularity Should We Use?

Paper • 2312.06648 • Published Dec 11, 2023 • 1
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Paper • 2401.18059 • Published Jan 31 • 35
Retrieval-Augmented Generation for Large Language Models: A Survey

Paper • 2312.10997 • Published Dec 18, 2023 • 10

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent

Paper • 2304.09542 • Published Apr 19, 2023 • 4
Dense X Retrieval: What Retrieval Granularity Should We Use?

Paper • 2312.06648 • Published Dec 11, 2023 • 1
Context Tuning for Retrieval Augmented Generation

Paper • 2312.05708 • Published Dec 9, 2023 • 16
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models

Paper • 2312.02969 • Published Dec 5, 2023 • 12

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